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DBMS > Apache Phoenix vs. OpenTSDB vs. Tkrzw vs. YugabyteDB

System Properties Comparison Apache Phoenix vs. OpenTSDB vs. Tkrzw vs. YugabyteDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable Time Series DBMS based on HBaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitephoenix.apache.orgopentsdb.netdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationphoenix.apache.orgopentsdb.net/­docs/­build/­html/­index.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software Foundationcurrently maintained by Yahoo and other contributorsMikio HirabayashiYugabyte Inc.
Initial release2014201120202017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9.3, August 20202.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPLOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJavaC++C and C++
Server operating systemsLinux
Unix
Windows
Linux
Windows
Linux
macOS
Linux
OS X
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnonoyes, PostgreSQL compatible
APIs and other access methodsJDBCHTTP API
Telnet API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Erlang
Go
Java
Python
R
Ruby
C++
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes infosql, plpgsql, C
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasenoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on HBasenoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infobased on HBaseImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynonoyes
More information provided by the system vendor
Apache PhoenixOpenTSDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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Apache PhoenixOpenTSDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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